Senior Scientist, Computational Biotherapeutics Engineering
Core
Scientist implementing AI/ML methods for protein modeling, representation learning, and generative model development to advance biotherapeutic discovery and engineering.
Role type
Senior Scientist, Computational Biotherapeutics Engineering
Builds
AI/ML-driven design strategies for clinical molecules and antibody developability
Domain
Biopharmaceuticals / Computational Biology / Machine Learning
Deliverable
production ML models
Required skills
AI/ML for protein representation and structure prediction, Python programming, modern scientific/ML libraries (PyTorch, NumPy, SciPy), large-scale biological dataset analysis, HPC/cloud computing workflows
Preferred skills
Protein language models (ESM), generative structure models (RFdiffusion, BoltzGen), equivariant neural networks, antibody developability modeling, structure-based molecular modeling software (Rosetta, Schrödinger)
Technologies
PyTorch, NumPy, SciPy, scikit-learn, Slurm, AWS, Google Cloud, Rosetta, Schrödinger, MOE, FoldX, AlphaFold
Responsibilities
Implement AI/ML workflows for computational protein design in HPC/cloud environments, collaborate on antibody developability engineering models, analyze large-scale sequence and structure datasets, serve as technical expert in deep learning for protein sequences, optimize computational developability platforms
Seniority
Senior, hands-on IC
